图 书 馆
多的照片捕获优化模糊噪声的折衷Optimizing the Blur-Noise Tradeoff with Multiple-Photo Capture |
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| 课程网址: | http://videolectures.net/nipsworkshops2010_hasinoff_obn/ |
| 主讲教师: | Samuel Hasinoff |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 2011-01-12 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Capturing multiple photos at different focus settings is a powerful approach for reducing optical blur, but how many photos should we capture within a fixed time budget? We develop a framework to analyze optimal capture strategies balancing the tradeoff between defocus and sensor noise, incorporating uncertainty in resolving scene depth. We derive analytic formulas for restoration error and use Monte Carlo integration over depth to derive optimal capture strategies for different camera designs, under a wide range of photographic scenarios. We also derive a new upper bound on how well spatial frequencies can be preserved over the depth of field. Our results show that by capturing the optimal number of photos, a standard camera can achieve performance at the level of more complex computational cameras, in all but the most demanding of cases. We also show that computational cameras, although specifically designed to improve one-shot performance, generally benefit from capturing multiple photos as well. |
| 关 键 词: | 减少光学模糊; 最优捕获策略; 蒙特卡罗积分的深度 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-01：吴雨秋(课程编辑志愿者) |
| 阅读次数: | 52 |